Mengdi Li

1.3k citations
56 papers · 897 indexed · h-index 17

Impact in

Papers in

Mengdi Li

53 papers receiving 883 citations

Peers

Mengdi Li
Comparison fields: 5 of 131
  • Geochemistry and Petrology 124
  • Environmental Chemistry 141
  • Environmental Engineering 131
  • Management, Monitoring, Policy and Law 96
  • Global and Planetary Change 163
Replace Qingren Wang with:
Qingren Wang United States
Jun Tu China
Yu Feng China
Zhe Xu China
Jiaxin Zhang China
Xiuhua Liu China
Yue Qian China
Qiang Chen China
Zong-Guo Xia United States
Jessica Veenstra United States
Mengdi Li relative to Qingren Wang United States Qingren Wang's profile →
Citations per field
00.5×3.8×
Qingren Wang · 1×
Citations per year

Countries citing papers authored by Mengdi Li

Since Specialization
Citations

This map shows the geographic impact of Mengdi Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mengdi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengdi Li more than expected).

Fields of papers citing papers by Mengdi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mengdi Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mengdi Li. The network helps show where Mengdi Li may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mengdi Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengdi Li Line = papers co-authored together Mengdi Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20248
5 20235
6 20238
7 20239
8 20235
9 202311
10 202316
11 20232
12 20232
13 202312
14 202314
15 202215
16 202070
17 202023
18 201820
19 20178
20 20134

About Mengdi Li

Mengdi Li is a scholar working on Global and Planetary Change, Environmental Engineering, Ecological Modeling, Computer Vision and Pattern Recognition and Environmental Chemistry, having authored 56 papers that have together received 897 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Atmospheric and Environmental Gas Dynamics (5 papers), Land Use and Ecosystem Services (5 papers), Flood Risk Assessment and Management (4 papers), Arsenic contamination and mitigation (4 papers), Topic Modeling (3 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Geochemistry and Petrology (124 citations), Environmental Chemistry (141 citations), Environmental Engineering (131 citations), Management, Monitoring, Policy and Law (96 citations) and Global and Planetary Change (163 citations). Mengdi Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chunli Su, Junxia Li, Xianjun Xie, Yanxin Wang, Alain Yee‐Loong Chong, Simon See, Eugene Ch’ng, Xudong Hu, Lingzhen Ye and Guoping Zhang. Their work appears in journals such as The Science of The Total Environment, Computers and Electronics in Agriculture, Industrial Management & Data Systems, Forests and Journal of Hydrology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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